Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification.
Published in Programming Historian, 2022
Recommended citation: an Strien, D., Beelen, K., Wevers, M., Smits, T., & McDonough, K. (2022). Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1). Programming Historian, 11 https://doi.org/10.18146/tmg.815
This is the first of a two-part lesson introducing deep learning based computer vision methods for humanities research. Using a dataset of historical newspaper advertisements and the fastai Python library, the lesson walks through the pipeline of training a computer vision model to perform image classification.t the opportunities and challenges of applying artificial intelligence to a collection of historical photographs.
Recommended citation: Van Strien, D., Beelen, K., Wevers, M., Smits, T., & McDonough, K. (2022). Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1). Programming Historian, 11